Establishing and assessing the Integrated Surface Drought Index (ISDI) for agricultural drought monitoring in mid-eastern China |
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| Institution: | 1. Academy of Disaster Reduction and Emergency Management, MOCA/MOE, Beijing Normal University, Beijing 100875, China;2. China National Environmental Monitoring Center, Beijing 100012, China;3. Department of Geography, University of Maryland, College Park, MD 20742, United States;4. Department of Geography, University at Buffalo, The State University of New York, Buffalo, NY 14261, United States;1. Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China;2. CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, China;3. University of Chinese Academy of Sciences, Beijing, China;4. Nansen-Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;5. Dedan Kimathi University of Technology, Nyeri, Kenya;1. Instituto Hispano Luso de Investigaciones Agrarias, CIALE, University of Salamanca, Duero 12, 37185 Villamayor, Spain;2. Image Processing Lab (IPL), Universitat de València, 46980 València, Spain;1. State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area, Xi''an University of Technology, Xi''an 710048, China;2. PowerChina Guiyang Engineering Corporation Limited, Guizhou Province, Guiyang 550081, China;3. Hanjiang - to - Weihe River Valley Water Diversion Project Construction Co. Ltd., Shaanxi Province, Xi’an 710048, China;1. Department of Civil and Environmental Engineering, Hanyang University, Seoul 133-791, Republic of Korea;2. Department of Agricultural Engineering, University of Engineering and Technology, Peshawar 25120, Pakistan;3. Department of Civil and Environmental Engineering, Hanyang University, Ansan 426-791, Republic of Korea;1. Lab. of Remote Sensing and Climate information, Chinese Academy of Meteorological Sciences, Beijing 100081, China;2. Lab. for Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;3. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | Accurately monitoring the temporal, spatial distribution and severity of agricultural drought is an effective means to reduce the farmers’ losses. Based on the concept of the new drought index called VegDRI, this paper established a new method, named the Integrated Surface Drought Index (ISDI). In this method, the Palmer Drought Severity Index (PDSI) was selected as the dependent variable; for the independent variables, 12 different combinations of 14 factors were examined, including the traditional climate-based drought indicators, satellite-derived vegetation indices, and other biophysical variables. The final model was established by fully describing drought properties with the smaller average error (relative error) and larger correlation coefficients. The ISDI can be used not only to monitor the main drought features, including precipitation anomalies and vegetation growth conditions but also to indicate the earth surface thermal and water content properties by incorporating temperature information. Then, the ISDI was used for drought monitoring from 2000 to 2009 in mid-eastern China. The results for 2006 (a typical dry year) demonstrate the effectiveness and capability of the ISDI for monitoring drought on both the large and the local scales. Additionally, the multiyear ISDI monitoring results were compared with the actual drought intensity using the agro-meteorological disaster data recorded at the agro-meteorological sites. The investigation results indicated that the ISDI confers advantages in the accuracy and spatial resolution for monitoring drought and has significant potential for drought identification in China. |
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| Keywords: | Drought Drought indices Data mining ISDI |
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